In this paper presents a survey on RoF for Wireless Broadband Access technology like WiMAX (Fixed and Mobile). RoF is considered to achieve an effective delivery of wireless and baseband signal, and it also reduces the power consumption. In the other hand WiMAX (Worldwide Interoperability for Microwave Access) is recent fast growing broadband access technology through wireless. In this paper survey to possible, the RoF implement into wireless broadband access technologies like WiMAX. And also in this combination will be carried out different technical and keying concept from the different methodology.
Cancer is one of the deadly diseases in the world today. Cancer is caused because of some genetic factors and/or environmental factors and/or today's modern lifestyle. Cancer has become the primary reason of death in developed countries. The most effective way to reduce cancer death is to detect it earlier. The earlier detection of cancer is not easier process but if it is detected, it is curable. Many works have been done in predicting cancer; different data mining approaches and algorithms were adopted by different people. Each work has some limitations such as lack of intelligent prediction, and inefficient in structure that motivated to take up this problem and to implement the Data mining based cancer prediction System (DMBCPS). We have proposed the cancer prediction system based on data mining. This system estimates the risk of the breast, skin, and lung cancers. This system is validated by comparing its predicted results with patient's prior medical information and it was analyzed by using weka system. The main aim of this model is to provide the earlier warning to the users, and it is also cost efficient to the user.
E-learning is emerging as the new paradigm of modern education. Most of the e-learning systems have limitations such as scarcity of content, lack of intelligent search and context sensitive personalization problems, which are the challenging tasks for researchers. This motivated the author to take up this problem and the method implemented through this work suggests the instructors to use the combination of Elearning System Using Rank-Based Clustering Algorithm (ESURBCA) was designed. The main aim of the model developed is to get consistency in content delivery, quality content in learning materials, students self-learning concept, and performance improvement in their examination. A study has been conducted During June 2013 to September 2013, the author collected samples of 1631 from final year and Second year of BCA, B.SC and B.Sc-IT students were trained through e-learning system architecture and the objectives of this study is 1. To measure the effectiveness of E-learning System Using Rank-Based Clustering Algorithm (ESURBCA) among the students of Mercury College of arts and science And Sankara arts and Science College in concepts of Programming in JAVA Course. The newly designed E-learning System using Rank-Based Clustering Algorithm (EUSRBCA)shows an improvement over the existing systems with better results. From the various evaluations carried out, the performance of the system found to be good comparatively to other systems in e-learning domain.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.